Analysis of biometric parameters to detect relationships between stress and sleep quality (AnBiPa 2016)

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Workshop on Analysis of biometric parameters to detect relationships between stress and sleep quality
November 4, 2016, Faculty of Engineering, Ancona, via brecce bianche 12, Aula 160/3

Individual stress as well as frequent sleep disorder seems to be related with chronicle diseases like diabetes, cerebrovascular disease or other psychiatric illnesses. Besides capturing a huge amount of data, it needs to be interpreted and compared to patterns suited to detect stress and sleep quality in real-time. One are of research is to detect and analyze a relationship between stress and healthy sleep. A second domain covered by the workshop is to derive individual recommendations to improve a health life. A relevant domains are models, systems, technology and services for Ambient Intelligence and Ambient Assisted Living to improve the quality of life, especially for people with "fragility" to obtain an active longevity.

Topics of Interest: Recommendation systems,   Data stream modelling,   Low power wearable sensors, Algorithm design for pattern classification, Real time data mining


Program Commitee

 Massimo Conti (Università Politecnica delle Marche)

 Natividad Martínez Madrid (Reutlingen University)

 Ralf Seepold (HTWG Konstanz)


The working language of the conference is English. Prospectiveauthors are invited to submit new original research papers of 4-6 pages (2 columns IEEE format) or a 1 page extended abstract.

All submitted papers will be peer-reviewed. Accepted papers (not abstracts) will be published in printed proceedings with ISBN after the Workshop

Submission Deadline: October 30, 2016
Notification of Acceptance: November 2, 2016
Camera Ready Paper for the Proceedings: November 30, 2016
Paper submission via EasyChair:

The workshop is organized by Università Politecnica delle Marche – University of Applied Science , Konstanz – Reutlingen University under the «MIUR-DAAD joint mobility program» financed by the German Academic Exchange Service (DAAD)  and the Italian Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR).


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